RRepoGEO

REPOGEO REPORT · LITE

openai/transformer-debugger

Default branch main · commit c22efe8d · scanned 5/12/2026, 7:27:55 AM

GitHub: 4,113 stars · 237 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface openai/transformer-debugger, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    A tool by OpenAI's Superalignment team for interactively debugging and interpreting specific behaviors of small language models, combining automated interpretability with sparse autoencoders.
  • mediumreadme#2
    Strengthen the README's opening sentence to emphasize its role as an interactive debugger

    Why:

    CURRENT
    Transformer Debugger (TDB) is a tool developed by OpenAI's Superalignment team with the goal of supporting investigations into specific behaviors of small language models.
    COPY-PASTE FIX
    Transformer Debugger (TDB) is an interactive interpretability and debugging tool developed by OpenAI's Superalignment team. It enables deep investigations into specific behaviors of small language models by combining automated interpretability techniques with sparse autoencoders.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface openai/transformer-debugger
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
SHAP
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. SHAP · recommended 2×
  2. LIME · recommended 2×
  3. LlamaIndex · recommended 1×
  4. LangChain · recommended 1×
  5. LangSmith · recommended 1×
  • CATEGORY QUERY
    How can I interpret and debug specific behaviors in a small language model?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. LangSmith
    4. Weights & Biases
    5. OpenAI Playground
    6. Hugging Face Inference API
    7. InterpretML
    8. SHAP
    9. LIME

    AI recommended 9 alternatives but never named openai/transformer-debugger. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to analyze neuron activations and attention heads in transformer models?
    you: not recommended
    AI recommended (in order):
    1. TransformerLens
    2. Neuroscope
    3. Captum
    4. LIME
    5. SHAP
    6. Hugging Face Transformers library

    AI recommended 6 alternatives but never named openai/transformer-debugger. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of openai/transformer-debugger?
    pass
    AI named openai/transformer-debugger explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts openai/transformer-debugger in production, what risks or prerequisites should they evaluate first?
    pass
    AI named openai/transformer-debugger explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo openai/transformer-debugger solve, and who is the primary audience?
    pass
    AI did not name openai/transformer-debugger — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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  • Brand-free category queries5 vs 2 in Lite
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